Recognitive Aspects of Moment Invariants

Authors:
Yaser S. Abu-Mostafa;Demetri Psaltis
Affiliations:
Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.;-
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1984

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Abstract

Moment invariants are evaluated as a feature space for pattern recognition in terms of discrimination power and noise tolerance. The notion of complex moments is introduced as a simple and straightforward way to derive moment invariants. Through this relation, properties of complex moments are used to characterize moment invariants. Aspects of information loss, suppression, and redundancy encountered in moment invariants are investigated and significant results are derived. The behavior of moment invariants in the presence of additive noise is also described.